Evidence map›Paper›PMID 30317107›Full record

ArticleEnvironmental research2019

Dietary patterns, bone lead and incident coronary heart disease among middle-aged to elderly men.

Ning Ding, Xin Wang, Katherine L Tucker, Marc G Weisskopf, David Sparrow, Howard Hu, Sung Kyun Park

Abstract read
In one paragraph

Article in Environmental research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.3field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 27 citations in OpenAlex.

  1. Hair Lead, Aluminum, and Other Toxic Metals in Normal-Weight and Obese Patients with Coronary Heart Disease.International journal of environmental research and public health · 2021
    Article
  2. Article
  3. Article
  4. Lead (Pb) exposure and heart failure risk.Environmental science and pollution research international · 2021
    Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
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  12. Sociodemographic and Regional Determinants of Dietary Patterns in Russia.International journal of environmental research and public health · 2020
    Article
  13. Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 1 country.

Ning DingDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
Xin WangDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
Katherine L TuckerDepartment of Clinical Laboratory and Nutritional Sciences, University of Massachusetts at Lowell, Lowell, MA, USA.
Marc G WeisskopfDepartment of Environmental Health, Harvard School of Public Health, Boston, MA, USA.
David SparrowNormative Aging Study, Veterans Affairs Boston Healthcare System, and Department of Medicine, Boston University School of Medicine, Boston, MA, USA.
Howard HuSchool of Public Health, University of Washington, Seattle, WA, USA.
Sung Kyun ParkDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA; Department of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA. Electronic address: sungkyun@umich.edu.
University of Michigan · USBoston University · USUniversity of Massachusetts Lowell · USUniversity of Washington · US

Funding

Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI SUSAN A KORRICK · 1985 to 2026
$44.6M
University of Michigan ERC-supplement (TRT)T42OH008455 · OH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI NEITZEL, RICHARD L · 2005 to 2025
$32.3M
Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Martin G Myers · 2013 to 2026
$24.3M
Strategic Vision & Impact on Environmental HealthP30ES017885 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Dana Dolinoy · 2011 to 2026
$21.3M
Research BaseP30DK092926 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MARY ELLEN MICHELE HEISLER, ADESUWA B OLOMU · 2011 to 2026
$10.0M
LEAD-GENE INTERACTIONS AND CONGNITIONR01ES005257 · NIEHS · BRIGHAM AND WOMEN'S HOSPITAL · PI WEISSKOPF, MARC G · 1991 to 2007
$4.2M
Environment, Novel Aging Outcomes, and GeneticsK01ES016587 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PARK, SUNG KYUN · 2009 to 2013
$622k
NIDDK NIH HHS P30 DK020572NIDDK NIH HHS P30 DK092926NIEHS NIH HHS K01 ES016587NIEHS NIH HHS P30 ES000002NIEHS NIH HHS P30 ES017885NIEHS NIH HHS R01 ES005257NIOSH CDC HHS T42 OH008455
6 · The paper itself

Abstract

backgroundMost absorbed lead ends up in the bone, where it can be measured as a biomarker of cumulative exposure, elevations of which have been shown to predict a higher risk of coronary heart disease (CHD). Knowledge about the role of dietary patterns is critical to the development of effective interventions for the cardiovascular toxicity of cumulative lead exposure.

methods594 men, free of CHD at baseline, were followed from August 1991 to June 2011 in the Normative Aging Study. Bone lead concentrations were measured by K-shell-X-ray fluorescence. Dietary patterns were identified using principal components analysis. Two dietary patterns were identified: a 'prudent' pattern characterized by high intake of fruit, vegetables, legumes, tomatoes, poultry, and seafood; and a 'Western' pattern, with high intake of red meat, processed meat, refined grains, high-fat dairy products, high-energy drinks, fries, butter and eggs. Cox proportional hazard models were used to compute hazard ratios (HRs) and 95% confidence intervals (CIs) for incident CHD. Effect modification on the multiplicative scale was examined through cross-product interaction terms.

results137 men developed incident CHD events during 5071 person-years of follow-up. After adjusting for age, body mass index, total energy intake, smoking status, total cholesterol to high-density lipoprotein ratio, education and occupation, an HR of incident CHD was 1.64 (95% CI: 1.27-2.11) with each doubling in patella lead concentration in the low prudent diet group (< median prudent score); and the HR decreased to 1.07 (95% CI: 0.86-1.34) in the high prudent diet (≥ median prudent score) (p-for-interaction = 0.01), suggesting protective effects of prudent diet against lead-related CHD. By contrast, the association between tibia lead and CHD was non-significantly larger in the low Western diet group (HR = 1.43, 95% CI: 1.14-1.80) compared with the high Western diet group (HR = 1.08, 95% CI: 0.86-1.34) (p-for-interaction = 0.06). No significant effect modifications were detected by Western diet in the patella lead-CHD association and by prudent diet in the tibia lead-CHD association.

conclusionsPrudent diet may reduce the risk of development of CHD in relation to patella lead. However, these findings need to be interpreted with caution, given the modest sample size.

Indexed as

AgedBone and BonesCoronary DiseaseDietEnergy IntakeEnvironmental ExposureHumansLeadMaleMiddle AgedRisk FactorsVegetablesLeadCoronary heart diseaseDiet patternsPatella leadTibia lead

Identifiers

PMID30317107
PMCPMC6263823
OpenAlexW2893705479

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.